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A Shape-Aware Total Body Photography System for In-Focus Surface Coverage Optimization.

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    This study introduces a shape-aware Total Body Photography (TBP) system for improved skin cancer screening. The novel system enhances image resolution and sharpness, aiding in the automated detection of suspicious skin lesions.

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    Area of Science:

    • Medical Imaging
    • Dermatology
    • Computer Vision

    Background:

    • Total Body Photography (TBP) is crucial for skin cancer screening in high-risk patients.
    • Current TBP systems require enhancement in automatic lesion detection and analysis.
    • Image resolution and sharpness are key limitations in existing TBP technologies.

    Purpose of the Study:

    • To propose a novel shape-aware TBP system for high-fidelity full-body image capture.
    • To optimize image quality, focusing on resolution and sharpness across the entire body surface.
    • To improve automated analysis of skin lesions for enhanced skin cancer screening.

    Main Methods:

    • A 360-degree rotary beam system with depth and RGB cameras.
    • 3D body shape estimation to understand body geometry.
    • An in-focus surface optimization method to dynamically adjust focus distance.
    • Calibrated camera poses to ensure optimal focus over complex 3D surfaces.

    Main Results:

    • The system achieves high resolution (0.068 mm/pixel and 0.0566 mm/pixel).
    • Approximately 85-95% of the body surface area is captured in-focus.
    • The shape-aware focus method surpasses traditional auto-focus protocols.
    • Demonstrated effectiveness on diverse body shapes, poses, and mannequin scans.

    Conclusions:

    • The proposed shape-aware TBP system significantly enhances image fidelity for full-body imaging.
    • High-quality imaging is expected to advance automated skin lesion analysis.
    • This technology holds promise for improving early skin cancer detection rates.